Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSat, 15 Dec 2007 04:45:07 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/15/t11977181474lbyrecm8c9o1pc.htm/, Retrieved Thu, 02 May 2024 18:13:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4019, Retrieved Thu, 02 May 2024 18:13:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650550 s0650062
Estimated Impact248
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Q4] [2007-12-15 11:45:07] [ab924f39c1cc7a5dd22761038b10db61] [Current]
Feedback Forum

Post a new message
Dataseries X:
0	3441000000	0,1	-0,0169
-1,77636E-15	-4114000000	-0,4	-0,0439
0,1	-2429000000	-0,1	-0,0151
0	7771000000	0,2	-0,0034
-0,8	-5635000000	0,6	-0,0041
0	-2170000000	-0,6	-0,0734
0	12078000000	0,1	-0,0081
1,1	-6869000000	-0,2	0,0291
-1,77636E-15	-2367000000	-0,1	0,0233
0	-689000000	0,3	-0,0083
-0,9	10531000000	-0,4	-0,047
0	-10956000000	0,1	-0,001
-0,1	1974000000	0,3	-0,0584
0,1	2597000000	0,2	-0,0327
0	-4439000000	0,2	-0,0033
0	1399000000	-0,7	0,0384
0,8	7394000000	-0,7	0,0277
0,1	-13410000000	0,4	-0,0022
-0,2	3412000000	-0,1	-0,0131
-1	48000000	0,1	-0,0128
-0,1	10090000000	0,2	0,009
0	-9025000000	-0,9	-0,0042
0,6	-2988000000	0,4	-0,0272
0	9828000000	0,4	-0,0501
0	-6896000000	-0,1	-0,0417
0	-11000000	-0,3	0,0289
0	5331000000	-0,5	0,0105
-0,1	-1954000000	0,4	-0,0187
0,2	713000000	0,1	0,0263
0	6322000000	-0,4	0,0244
0,1	-2806000000	0	0,0529
-0,8	-10643000000	-0,2	0,0128
0	2092000000	-0,1	-0,0255
-0,1	13973000000	0,8	0,0036




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4019&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4019&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4019&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( werkloosheid , brutoschuld )-0.1325413440350840.303992461888106
tau( werkloosheid , inflatie )-0.07695551430145930.56217051890156
tau( werkloosheid , wisselkoers )0.1927874095055770.134877673458675
tau( brutoschuld , inflatie )0.02030768461720970.869647693787194
tau( brutoschuld , wisselkoers )-0.04812834224598930.702071695675233
tau( inflatie , wisselkoers )-0.1495384049085440.226886921878154

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkloosheid , brutoschuld ) & -0.132541344035084 & 0.303992461888106 \tabularnewline
tau( werkloosheid , inflatie ) & -0.0769555143014593 & 0.56217051890156 \tabularnewline
tau( werkloosheid , wisselkoers ) & 0.192787409505577 & 0.134877673458675 \tabularnewline
tau( brutoschuld , inflatie ) & 0.0203076846172097 & 0.869647693787194 \tabularnewline
tau( brutoschuld , wisselkoers ) & -0.0481283422459893 & 0.702071695675233 \tabularnewline
tau( inflatie , wisselkoers ) & -0.149538404908544 & 0.226886921878154 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4019&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( werkloosheid , brutoschuld )[/C][C]-0.132541344035084[/C][C]0.303992461888106[/C][/ROW]
[ROW][C]tau( werkloosheid , inflatie )[/C][C]-0.0769555143014593[/C][C]0.56217051890156[/C][/ROW]
[ROW][C]tau( werkloosheid , wisselkoers )[/C][C]0.192787409505577[/C][C]0.134877673458675[/C][/ROW]
[ROW][C]tau( brutoschuld , inflatie )[/C][C]0.0203076846172097[/C][C]0.869647693787194[/C][/ROW]
[ROW][C]tau( brutoschuld , wisselkoers )[/C][C]-0.0481283422459893[/C][C]0.702071695675233[/C][/ROW]
[ROW][C]tau( inflatie , wisselkoers )[/C][C]-0.149538404908544[/C][C]0.226886921878154[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4019&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4019&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( werkloosheid , brutoschuld )-0.1325413440350840.303992461888106
tau( werkloosheid , inflatie )-0.07695551430145930.56217051890156
tau( werkloosheid , wisselkoers )0.1927874095055770.134877673458675
tau( brutoschuld , inflatie )0.02030768461720970.869647693787194
tau( brutoschuld , wisselkoers )-0.04812834224598930.702071695675233
tau( inflatie , wisselkoers )-0.1495384049085440.226886921878154



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method='kendall')
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'tau',1,TRUE)
a<-table.element(a,'p-value',1,TRUE)
a<-table.row.end(a)
n <- length(y[,1])
n
cor.test(y[1,],y[2,],method='kendall')
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste('tau(',dimnames(t(x))[[2]][i])
dum <- paste(dum,',')
dum <- paste(dum,dimnames(t(x))[[2]][j])
dum <- paste(dum,')')
a<-table.element(a,dum,header=TRUE)
r <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,r$estimate)
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')